Python Data Science

Python Data Science Salary

$27.5K

$119K

$180K

$121,932

/year

$58.62

/hour

Python Data Science Salary Comparison by Location

Nationwide

United States

$121,932

Columbus

Ohio

$117,774

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    How much does a Python Data Science make?

    As of May 27, 2026, the average annual pay for a Python Data Science in the United States is $121,932 a year.

    Just in case you need a simple salary calculator, that works out to be approximately $58.62 an hour. This is the equivalent of $2,344/week or $10,161/month.

    While ZipRecruiter is seeing annual salaries as high as $180,000 and as low as $27,500, the majority of Python Data Science salaries currently range between $100,500 (25th percentile) to $138,500 (75th percentile) with top earners (90th percentile) making $160,000 annually across the United States. The average pay range for a Python Data Science varies greatly (by as much as 38000), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.

    A Python Data Science in your area makes on average $117,774 per year, or $4,158 (3.410%) less than the national average annual salary of $121,932. Ohio ranks number 42 out of 50 states nationwide for Python Data Science salaries.

    To estimate the most accurate annual salary range for Python Data Science jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.

    Find your next high paying job as a Python Data Science on ZipRecruiter today.

    What are Top 10 Highest Paying Cities for Python Data Science Jobs

    We've identified 10 cities where the typical salary for a Python Data Science job is above the national average. Topping the list is Inverness, CA, , with Nome, AK, and Cupertino, CA, close behind in the second and third positions. Cupertino, CA, beats the national average by $28,501 (23.4%), and Inverness, CA, furthers that trend with another $32,090 (26.3%) above the $121,932 average.

    With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Python Data Science appears to be exceedingly fruitful.

    Finally, another factor to consider is the average salary for these top 10 cities varies very little at 5% between Inverness, CA, and Duncan, BC, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a Python Data Science role.

    City

    Annual Salary

    Hourly Wage

    Inverness, CA

    $154,022

    $74.05

    Nome, AK

    $151,257

    $72.72

    Cupertino, CA

    $150,433

    $72.32

    Kentville, NS

    $148,752

    $71.52

    Whitehorse, YT

    $147,806

    $71.06

    Carcross, YT

    $147,719

    $71.02

    Haines Junction, YT

    $147,215

    $70.78

    Sitka, AK

    $146,890

    $70.62

    North Cowichan, BC

    $146,781

    $70.57

    Duncan, BC

    $146,217

    $70.30

    What are Top 5 Best Paying Related Python Data Science Jobs in the U.S.

    Analyzing some similar jobs related to the Python Data Science job category, we found that Adf Data Science jobs have average salaries similar than Python Data Science jobs.

    Job Title

    Annual Salary

    Hourly Wage

    Adf Data Science

    $117,121

    $56.31

    Data Visualization Developer

    $109,451

    $52.62

    Paper Science Engineering

    $98,759

    $47.48

    Math Curriculum Designer

    $87,652

    $42.14

    Bs Computer Science

    $83,109

    $39.96

    About Our Data

    ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.

    Infographic detailing Python Data Science salary across the United States as of May 2026. Displays a bar chart with salary percentiles, a national average salary of $121,932 per year or $58.62 an hour, and a color-coded map showing state-by-state salary variations.